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ICML
2009
IEEE
15 years 11 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
ICIAR
2010
Springer
15 years 8 months ago
Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords?
Graphical passwords have been proposed as an alternative to alphanumeric passwords with their advantages in usability and security. However, they still tend to follow predictable p...
Haichang Gao, Xiuling Chang, Zhongjie Ren, Uwe Aic...
131
Voted
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 7 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
NIPS
2007
15 years 5 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
140
Voted
DATAMINE
2006
166views more  DATAMINE 2006»
15 years 4 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis